Optimization of plasmonic nano-antennas

The interaction of light with plasmonic nano-antennas is investigated. First, an extensive parametric study is performed on the material and geometrical effects on dipole and bow-tie nano-antennas. The transmission efficiency is studied for various parameters including length, thickness, width, and composition of the antenna as well as the wavelength of incident light. The modeling and simulation of these structures is done using 3-D finite element method based full-wave solutions of Maxwell’s equations. Next, a modeling-based automated design optimization framework is developed to optimize nano-antennas. The electromagnetic model is integrated with optimization solvers such as gradient-based optimization tools and genetic algorithms

Comparative analysis of approximation methods in electromagnetic design

Design optimization of complex electromagnetic devices such as antennas with volumetric material and conductor variations require high computational resources. This burden can be reduced by introducing cost-effective surrogate models into the design optimization framework. Here we present a comparative analysis of various surrogate modeling techniques for material design studies of electromagnetic devices. Also a new polynomial based approximation technique is proposed for modeling frequency based responses of complex electromagnetic devices especially exhibiting multi-resonance behavior